Cai Yiyang - Home page
👋 Hi there! I am CAI Yiyang (蔡逸扬), a Ph.D. student of Hong Kong University of Science and Technology. I am supervised by Prof. GUO Yike and Prof. LUO Wenhan. My research interests include computer vision and generative models. My main focusing topic is about ID-preserving content generation.
Prior to my doctoral studies, I worked as a machine learning engineer at Intel for two years, where I worked on model optimization and acceleration techniques about diffusion models and LLMs.
I hold a Master’s degree from the University of California, Berkeley and a Bachelor’s degree from Beijing University of Aeronautics and Astronautics (Beihang University).
đź’Ľ Education & Working Experience

Ph.D. student of Independent Interdisciplinary Program

Machine learning engineer of Data Center and Artificial Intelligence (DCAI) Group

Graduate student of Electrical Engineering and Computer Science Department

Algorithm intern, working with Dr. LIU Jiaming.

Undergraduate student of Shenyuan Honor College
📝 Publications


Effective Quantization for Diffusion Models on CPUs
Hanwen Chang, Haihao Shen, Yiyang Cai, Xinyu Ye, Zhenzhong Xu, Wenhua Cheng, Kaokao Lv, et al.
NeurIPS 2023 Workshop on Diffusion Models.
[paper]
